Automated Author ProfileMakowicz, Amber M.
Florida State University0000-0002-1208-2117
Makowicz, Amber M.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
All known vertebrate clones have originated from hybridization events and some have produced distinct evolutionary lineages via hybrid speciation. Amazon mollies (Poecilia formosa) present an excellent study system to investigate how clonal species have adapted to heterogeneous environments because they are the product of a single hybridization event between male sailfin mollies (P. latipinna) and female Atlantic mollies (P. mexicana). Here we ask whether the hybrid species differs from the combination of its parental species’ genes in its plastic response to different environments. Using a 3-way factorial design, we exposed neonates produced by Amazon mollies and reciprocal F1 hybrid crosses to different thermal (24° and 29° C) and salinity (0/2, 12, 20 ppt) regimes. We measured various ontogenetic and life history characteristics across the lifespan of females. Our major results were: 1) Reaction norms of growth and maturation to temperature and salinity are quite similar between the two hybrid crosses; 2) Amazon molly reaction norms were qualitatively different than the P. latipinna male and P. mexicana female (LxM) hybrids for the ontogenetic variables; 3) Amazon molly reaction norms in reproductive traits were also quite different from LxM hybrids; 4) The reaction norms of net fertility were very different between Amazon mollies and LxM hybrids. We conclude that best locale for Amazon mollies is not the best locale for hybrids, which suggests that Amazon mollies are not just an unmodified mix of parental genes but instead have adapted to the variable environments in which they are found.
Authors
- Makowicz, Amber M. ;
- Travis, Joseph